High Frequency and High Quality Survey Data Collection

The Mannheim Corona Study

Authors

  • Annelies G. Blom University of Mannheim
  • Carina Cornesse University of Mannheim
  • Sabine Friedel University of Mannheim
  • Ulrich Krieger University of Mannheim
  • Marina Fikel University of Mannheim
  • Tobias Rettig University of Mannheim
  • Alexander Wenz University of Mannheim
  • Sebastian Juhl University of Mannheim
  • Roni Lehrer University of Mannheim
  • Katja Möhring University of Mannheim
  • Elias Naumann University of Mannheim
  • Maximiliane Reifenscheid University of Mannheim

DOI:

https://doi.org/10.18148/srm/2020.v14i2.7735

Keywords:

COVID-19, Corona, pandemic, online panel, response rate, sample accuracy

Abstract

The outbreak of the COVID-19 pandemic has a massive impact on society. To curb the spread of the SARS-CoV-2 virus, unprecedented containment measures are being taken by governments around the world. These measures and the fear of the disease itself are likely affecting the economy, social inequality, mental and physical health, and even people’s perception of good democratic governance. Equally unprecedented is the speed at which these massive changes take place and the lack of statistical evidence that accompanies them. Within days of the first containment measures in Germany, the German Internet Panel (GIP) launched the Mannheim Corona Study (MCS), a daily rotating panel study of the general adult population of approximately 3,600 respondents. Its data and reports now inform the crisis cabinet of the German government and are the basis for groundbreaking social and economic research. This paper gives insights into the MCS methodology and data quality.

Downloads

Published

2020-06-02

How to Cite

Blom, A. G., Cornesse, C., Friedel, S., Krieger, U., Fikel, M. ., Rettig, T., … Reifenscheid, M. (2020). High Frequency and High Quality Survey Data Collection: The Mannheim Corona Study. Survey Research Methods, 14(2), 171–178. https://doi.org/10.18148/srm/2020.v14i2.7735

Most read articles by the same author(s)

Similar Articles

1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.